At a Glance
- Tasks: Shape the future of AI by training advanced language models and optimising workflows.
- Company: Join Outlier, a leader in AI innovation and collaboration.
- Benefits: Enjoy remote work flexibility, competitive pay, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting projects and career advancement potential.
- Why this job: Make a real impact on cutting-edge AI technology and enhance autonomous agents.
- Qualifications: 2+ years in backend engineering and strong coding skills in major programming languages.
The predicted salary is between 50000 - 60000 € per year.
About the Project
Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems.
Ideal Qualifications
- ~2+ years of experience in backend engineering, AI automation, or complex systems integration.
- ~Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).
- ~Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.
- ~Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
- ~Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.
Nice to have
- Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
- Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.
- High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.
- Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.
LLM Integration Engineer (Remote) in Swindon employer: Outlier AI
Outlier is an exceptional employer for those looking to make a significant impact in the AI field, particularly as an LLM Integration Engineer. With a strong focus on innovation and collaboration, we offer a dynamic remote work culture that fosters creativity and professional growth, alongside opportunities to work with cutting-edge technology and leading AI organisations. Our commitment to employee development and a supportive environment makes Outlier a rewarding place to advance your career while shaping the future of autonomous agents.
StudySmarter Expert Advice🤫
We think this is how you could land LLM Integration Engineer (Remote) in Swindon
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or complex systems integration. This gives us a tangible way to see what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your experience with backend engineering and how you've tackled real-world problems in past roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace LLM Integration Engineer (Remote) in Swindon
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the LLM Integration Engineer role. Highlight your experience in backend engineering and any projects that showcase your skills in AI automation or complex systems integration. We want to see how your background aligns with what we're looking for!
Showcase Your Skills:When writing your application, don’t just list your skills—show us how you've used them! Include specific examples of projects where you built production-grade software or worked with multi-turn system interactions. This helps us understand your practical experience better.
Be Clear and Concise:We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points for key achievements and keep your language professional yet approachable. Remember, we’re looking for outstanding attention to detail!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Outlier AI
✨Know Your Tech Inside Out
Make sure you’re well-versed in the programming languages mentioned in the job description, like Python or JavaScript. Brush up on your SQL skills too, as you'll likely be asked to demonstrate your understanding of databases and how they integrate with backend systems.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex system integrations or AI automation challenges. Highlight your experience with multi-turn interactions and how you’ve optimised workflows in real-world scenarios. This will show that you can think critically and apply your knowledge effectively.
✨Be Ready for Technical Questions
Expect to dive deep into technical discussions during the interview. Practice explaining your past projects, focusing on the architecture and design choices you made. Be prepared to provide clear, high-density feedback on system behaviours, as this is crucial for the role.
✨Demonstrate Attention to Detail
In a field where precision is key, make sure to highlight your attention to detail. Discuss any experiences where you identified subtle failures or optimised processes. This will reassure the interviewers that you can maintain high standards in your work.
